Overlapping densities
Contents
8. Overlapping densities¶
8.1. 概要¶
8.2. Plotlyによる作図方法¶
8.3. MADB Labを用いた作図例¶
8.3.1. 下準備¶
import pandas as pd
import plotly.figure_factory as ff
import warnings
warnings.filterwarnings('ignore')
# 前処理の結果,以下に分析対象ファイルが格納されていることを想定
PATH_DATA = '../../data/preprocess/out/magazines.csv'
# Jupyter Book用のPlotlyのrenderer
RENDERER = 'plotly_mimetype+notebook'
def show_fig(fig):
"""Jupyter Bookでも表示可能なようRendererを指定"""
fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
fig.show(renderer=RENDERER)
df = pd.read_csv(PATH_DATA)
8.3.2. 雑誌別・作品別の合計連載週数¶
df_plot = \
df.value_counts(['mcname', 'cname']).reset_index(name='weeks')
df_plot = \
df.value_counts(['mcname', 'cname']).reset_index(name='weeks')
# distplot用に中間集計
mcnames = df_plot.mcname.unique()
hist_data = [
df_plot[df_plot['mcname']==mc]['weeks'].values.reshape(-1)
for mc in mcnames]
fig = ff.create_distplot(
hist_data, mcnames, show_hist=False)
fig.update_layout(title_text='雑誌別・作品別の合計連載週数')
show_fig(fig)
fig = ff.create_distplot(
hist_data, mcnames, show_hist=False)
fig.update_layout(title_text='雑誌別・作品別の合計連載週数')
fig.update_xaxes(range=[0, 200])
show_fig(fig)
8.3.3. 雑誌別・作者別の合計連載週数¶
df_plot = \
df.value_counts(['mcname', 'creator']).reset_index(name='weeks')
# distplot用に中間集計
mcnames = df_plot.mcname.unique()
hist_data = [
df_plot[df_plot['mcname']==mc]['weeks'].values.reshape(-1)
for mc in mcnames]
fig = ff.create_distplot(
hist_data, mcnames, show_hist=False)
fig.update_layout(title_text='雑誌別・作者別の合計連載週数')
show_fig(fig)
fig = ff.create_distplot(
hist_data, mcnames, show_hist=False)
fig.update_layout(title_text='雑誌別・作者別の合計連載週数')
fig.update_xaxes(range=[0, 200])
show_fig(fig)